A career growth machine
A career growth machine
All Content for $99 / INR 7,999
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Embark on your journey to becoming a Databricks Certified Generative AI Engineer Associate and master the intricacies of deploying large language models (LLMs) within the Databricks ecosystem. This certification is meticulously designed to evaluate and enhance your ability to architect, implement, and manage generative AI solutions that are robust, scalable, and aligned with industry standards. What Will You Learn? Design Applications (14%): Understand how to design responsive AI applications that can interact intelligently with users. Learn the art of breaking down complex problems into manageable components, ensuring that each element of the application serves its purpose effectively. Data Preparation (14%): Gain proficiency in preparing and structuring data to train generative models efficiently. This includes selecting, cleaning, and formatting data, a crucial step for the success of any AI-driven application. Application Development (30%): Dive deep into the development processes of generative AI applications using Databricks. Explore various models and tools to find the ones best suited for your specific needs, enhancing your development capabilities. Assembling and Deploying Apps (22%): Learn how to assemble the components of AI applications and deploy them effectively. This segment focuses on the integration of different services and models to create cohesive and functional applications. Governance (8%): Understand the importance of data governance in AI with Databricks’ Unity Catalog. Learn how to manage data access and compliance, ensuring that your applications adhere to legal and ethical standards. Evaluation and Monitoring (12%): Master the techniques for evaluating the performance of AI applications and setting up robust monitoring systems using tools like MLflow. This ensures that your applications remain efficient and reliable over time. Key Databricks Tools Covered: Vector Search: Utilize this tool for conducting semantic similarity searches, a crucial capability for enhancing the relevance of responses generated by AI. Model Serving: Learn how to deploy and manage AI models efficiently, ensuring that your applications are always running on the latest and most optimized versions. MLflow: Master MLflow to manage the lifecycle of your solutions, from experiment tracking to deployment and beyond. Unity Catalog: Ensure your data governance is top-notch with Unity Catalog, managing data security and compliance seamlessly. Who Should Attend? This certification is ideal for software engineers, data scientists, and IT professionals who aim to build expertise in AI application development using Databricks. Whether you’re looking to improve your skills for a current project or aiming to enhance your career prospects, this training will equip you with the knowledge and tools necessary to excel. Outcome of the Certification: Upon successful completion, participants will be proficient in building and deploying Retriever-Augmented Generation (RAG) applications and LLM chains that maximize the powerful features of Databricks. This certification not only boosts your professional credibility but also opens up new avenues in the field of AI and data science. Take your AI skills to the next level with the Databricks Certified Generative AI Engineer Associate certification—where theoretical knowledge meets practical implementation.
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